DAT 250 Module 6 Journal

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Southern New Hampshire University *

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250

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Business

Date

Feb 20, 2024

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2

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DAT 250 Module Six Determine which of the guiding principles are most relevant to your role. As a data analyst I feel the three most relevant data security principles are: Understanding and complying with all pertinent regulations and guidelines. Use relational database views to restrict access to sensitive information. Classify enterprise data and information products against a simple confidentiality classification system I believe these principles are critical to the role and listed them in the order of importance as I see them. Knowing and being familiar with the regulations and guidelines in your industry and the company you work for will generate success. Fostering a corporate community initiative to be involved and responsible for knowing how and when it is appropriate to use and release data ensures compliance with the law and shows respect for who we do business with. The work performed and the results it provides will show integrity and accuracy and provide a platform to build further success on. Using relational databases to restrict access to sensitive information and classifying data and information using a confidentiality system furthers the first guideline. By protecting values in the company and strengthening compliance of data regulations and guidelines a data analyst ensures security and accuracy. Allowing restricted access of which users see data. The classification system sorting data to provide further clarification by need of what role will be using the data.
Principles that could be used in collaboration with other roles are numerous. The same three principles can be examples of collaboration. Understanding and complying with regulations is a guideline data analysts would review along with IT and legal departments. Using a relational database would require constructing the database. Constructing the database would be a collaborative project with data analysts, database administrators or architects and security administrators. Lastly, constructing the confidential classification system would be a collaborative effort between legal, document authors, and report authors. In my experience there are plenty of workflow documents on how to do something but not a lot of documents specifying where to find a Subject Matter Expert (SME) for a particular area within a company. Working in health insurance can vary depending on who you are working with. Healthcare providers, insurance policyholders, insured members, employer group representatives and many other business associates all have different requirements to be met regarding security and privacy. Depending on your role you might not have access to know who as a business associate is authorized to receive information. Since knowing who those individuals are can be a process having guidelines is a must. Another option I would like to see implemented is a breakdown of who in every unit or if not the unit, then in the department is a SME to discuss security and privacy information with. Identify areas for improvement for data security. References: Mosley, M., Brackett, M. H., Earley, S., Henderson, D., & Data Administration Management Association. (2010). The DAMA guide to the data management body of knowledge : (DAMA- DMBOK Guide) . Technics Publications.
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